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DBMS > Amazon Aurora vs. Apache Impala vs. Drizzle vs. Ehcache vs. Kdb

System Properties Comparison Amazon Aurora vs. Apache Impala vs. Drizzle vs. Ehcache vs. Kdb

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Impala  Xexclude from comparisonDrizzle  Xexclude from comparisonEhcache  Xexclude from comparisonKdb  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAnalytic DBMS for HadoopMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A widely adopted Java cache with tiered storage optionsHigh performance Time Series DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value storeTime Series DBMS
Vector DBMS
Secondary database modelsDocument storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websiteaws.amazon.com/­rds/­auroraimpala.apache.orgwww.ehcache.orgkx.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlimpala.apache.org/­impala-docs.htmlwww.ehcache.org/­documentationcode.kx.com
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaDrizzle project, originally started by Brian AkerTerracotta Inc, owned by Software AGKx Systems, a division of First Derivatives plc
Initial release20152013200820092000 infokdb was released 2000, kdb+ in 2003
Current release4.1.0, June 20227.2.4, September 20123.10.0, March 20223.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses availablecommercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Javaq
Server operating systemshostedLinuxFreeBSD
Linux
OS X
All OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnonoyes
Secondary indexesyesyesyesnoyes infotable attribute 'grouped'
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infowith proprietary extensionsnoSQL-like query language (q)
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JDBCJCacheHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBCC
C++
Java
PHP
JavaC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenonouser defined functions
Triggersyesnono infohooks for callbacks inside the server can be used.yes infoCache Event Listenersyes infowith views
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding infoby using Terracotta Serverhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorMulti-source replication
Source-replica replication
yes infoby using Terracotta ServerSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDyes infosupports JTA and can work as an XA resourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPluggable authentication mechanisms infoe.g. LDAP, HTTPnorights management via user accounts
More information provided by the system vendor
Amazon AuroraApache ImpalaDrizzleEhcacheKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
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More resources
Amazon AuroraApache ImpalaDrizzleEhcacheKdb
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